A tool for deploying Python projects to AWS Lambda.
Project description
A tool for deploying Python projects to AWS Lambda.
Getting started
Authentication is left to boto3 so you can set it up just like the regular AWS CLI. You need an S3 bucket for temporary storage. For a quick tutorial on execution roles, see the official docs (of course you need one that can execute lambdas).
In a new folder, create mymodule.py.
def hello(*args):
return "Hello, world!"Then deploy the function (fill in your execution role resource name from the AWS console).
awslambda . mybucket --create hello mymodule.hello arn:aws:iam::xxxxxxxxxxxx:role/myrole
When awslambda is done, you can test your new function in the Lambda management console.
>From now on, if you make changes to the function, just run:
awslambda . mybucket --update hello
You can use as many options as you like (some shown here with short names).
awslambda . mybucket -u hello -u myotherlambda --delete myoldlambda
Or specify your functions in a YAML file (let’s call it sync.yaml).
hello:
handler: mymodule.hello
role: arn:aws:iam::xxxxxxxxxxxx:role/myrole
# myotherlambda:
# handler: myothermodule.myotherhandler
# role: arn:aws:iam::xxxxxxxxxxxx:role/myroleWhen syncing from a file, awslambda will update existing functions and create the others automatically.
awslambda . mybucket --sync sync.yaml
To add dependencies, use your pip requirements file.
awslambda . mybucket -s sync.yaml --requirements requirements.txt
Note that compiled dependencies awslambda downloads on your local machine might not work on the AWS servers. Pure Python libraries should always work. For others, it could be helpful to run awslambda itself in a Lambda function. A process knows as awslambdaception.
A template greeting page
Let’s use the features introduced above to create a greeting page. We will use the Jinja2 templating engine. Edit mymodule.py,
from jinja2 import Template
template = Template('''
<html>
<body>
<h1>Hello, {{ parameters.name }}!</h1>
<p>{{ parameters.message }}</p>
</body>
</html>
''')
def hello(event, context):
return {
'statusCode': 200,
'headers': {'Content-Type': 'text/HTML'},
'body': template.render(parameters=event['queryStringParameters'])}and create a simple requirements.txt.
Jinja2
Deploy,
awslambda . mybucket -s sync.yaml -r requirements.txt
then open the function in your AWS console. Go to Triggers and add an API Gateway trigger. Set security to Open for now. Open the URL of the created trigger in your browser. You should see “Hello, !”. To customize the page append e.g.
?name=Commander Shepard&message=You've received a new message at your private terminal.
to the URL and enjoy your serverless, templated webpage!
Usage
Usage: awslambda [OPTIONS] SOURCE_DIR S3_BUCKET
Deploy Python code to AWS lambda.
Zips the contents of the source directory together with optional pip
requirements. The archive is temporarily uploaded to an S3 bucket and used
to create or update lambda functions.
Reference handlers from your source directory like you would in any Python
module-tree (e.g. mymodule.myhandler, mymodule.mysubmodule.myhandler,
etc.).
Roles are ARNs like "arn:aws:iam::xxxxxxxxxxxx:role/myrole"
YAML file entries for the sync option map function names to handlers and
roles:
myLambda:
handler: mymodule.myhandler
role: arn:aws:iam::xxxxxxxxxxxx:role/myrole
Options:
-r, --requirements PATH pip compatible requirements file. Will be
included in the archive.
-c, --create NAME HANDLER ROLE Create a new lambda function. Example:
--create myLambda mymodule.myhandler myrole
-u, --update NAME Update a lambda function.
-d, --delete NAME Delete a lambda function.
-s, --sync FILENAME Keep lambdas defined in YAML file in sync
with deployed lambdas.
--help Show this message and exit.
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